Qualitative analysis of a Lotka-Volterra competition system with advection

有界函数 数学 平流 人口 数学分析 分叉 扩散 统计物理学 非线性系统 物理 热力学 量子力学 社会学 人口学
作者
Qi Wang,Chunyi Gai,Jingda Yan
出处
期刊:Discrete and Continuous Dynamical Systems [American Institute of Mathematical Sciences]
卷期号:35 (3): 1239-1284 被引量:31
标识
DOI:10.3934/dcds.2015.35.1239
摘要

We study a diffusive Lotka-Volterra competition system with advection under Neumann boundary conditions. Our system models a competition relationship that one species escape from the region of high population density of their competitors in order to avoid competitions. We establish the global existence of bounded classical solutions for the system in one-dimensional domain. For multi-dimensional domains, globally bounded classical solutions are obtained for a parabolic-elliptic system under proper assumptions on the system parameters. These global existence results make it possible to study bounded steady states in order to model species segregation phenomenon. We then investigate the stationary problem in one-dimensional domains. Through bifurcation theory, we obtain the existence of nonconstant positive steady states, which are small perturbations from the positive equilibrium; we also study the stability of these bifurcating solutions when the diffusion coefficient of the escaper is large and the diffusion coefficient of its competitor is small. In the limit of large advection rate, we show that the reaction-advection-diffusion system converges to a shadow system involving the competitor population density and an unknown positive constant. The existence and stability of positive solutions to the shadow system have also been obtained through bifurcation theories. Finally, we construct positive solutions with an interior transition layer to the shadow system when the crowding rate of the escaper and the diffusion rate of its interspecific competitors are sufficiently small. The transition-layer solutions can be used to model the species segregation phenomenon.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI5应助www采纳,获得10
刚刚
1秒前
巨型肥猫发布了新的文献求助10
2秒前
zhang完成签到 ,获得积分10
2秒前
希望天下0贩的0应助westbobo采纳,获得10
2秒前
yyy完成签到,获得积分10
3秒前
JamesPei应助东方一斩采纳,获得10
3秒前
塔塔完成签到,获得积分20
4秒前
5秒前
zy发布了新的文献求助10
5秒前
科目三应助cmclara采纳,获得10
6秒前
6秒前
香蕉觅云应助酷酷的采珊采纳,获得10
7秒前
9秒前
炼丹发布了新的文献求助10
9秒前
betokuark完成签到,获得积分10
10秒前
Tony完成签到,获得积分20
10秒前
求学小白路完成签到,获得积分20
12秒前
sbvsa完成签到,获得积分10
12秒前
侦察兵发布了新的文献求助10
12秒前
12秒前
13秒前
westbobo完成签到,获得积分10
13秒前
斯文败类应助鲍尔槐采纳,获得10
14秒前
sbvsa驳回了miujin应助
14秒前
乐乐应助糯米糍采纳,获得10
15秒前
15秒前
16秒前
顾矜应助炼丹采纳,获得10
17秒前
17秒前
westbobo发布了新的文献求助10
18秒前
18秒前
18秒前
万能图书馆应助black的hole采纳,获得10
19秒前
20秒前
甘牡娟完成签到,获得积分10
20秒前
RC_Wang应助复杂荧采纳,获得10
20秒前
Aic发布了新的文献求助10
21秒前
情怀应助侦察兵采纳,获得10
21秒前
徐裘发布了新的文献求助10
22秒前
高分求助中
Continuum Thermodynamics and Material Modelling 4000
Production Logging: Theoretical and Interpretive Elements 2700
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
Novel synthetic routes for multiple bond formation between Si, Ge, and Sn and the d- and p-block elements 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3516025
求助须知:如何正确求助?哪些是违规求助? 3098196
关于积分的说明 9238731
捐赠科研通 2793241
什么是DOI,文献DOI怎么找? 1532920
邀请新用户注册赠送积分活动 712455
科研通“疑难数据库(出版商)”最低求助积分说明 707272